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Consists of editing, coding, data entry, and data cleaning.
Indicates how much the dependent variable changes for every one-unit increase in the independent variable.
Examples are Cramer’s phi and the correlation coefficient.
Documentation for a data file that usually contains the question wording and responses codes for each variable.
The most commonly used statistical measure of variation.
Detecting and resolving errors in coding and data entry.
A graphic display of a univariate distribution.
The value or category in a distribution with the highest frequency.
The numerical difference between an observed value and the value predicted by the regression line.
Replacing missing values in data analysis by estimating values from the available data.
A cleaning technique that can be programmed for automatic detection in computer-assisted interviewing.
The middle value in a distribution.